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This will combine multiple confusion matrices into a single table ideal for comparing the performance across multiple models.

Usage

combine_confusion_matrices(..., digits = 2)

Arguments

...

results from [confusion_matrix()]. If the parameters are named those will be used as the row names for each matrix.

digits

number of digits.